Question

The mean waiting time at the drive-through of a fast-food restaurant from the time an order is placed to the time the order is received is 84.2 seconds. A manager devises a new drive-through system that she believes will decrease wait time. As a test, she initiates the new system at her restaurant and measures the wait time for 10 randomly selected orders. The wait times are provided in the table to the right. Complete parts (a) and (b) below. 103.1 82.4 68.7 95.5 57.8 86.2 76.0 72.5 65.4 82.4 (a) Because the sample size is small, the manager must verify that the wait time is normally distributed and the sample does not contain any outliers. The normal probability plot is shown below and the sample correlation coefficient is known to be requals0.993. Are the conditions for testing the hypothesis satisfied? A normal probability plot has a horizontal axis labeled Time (seconds) from 50 to 115 in increments of 5 and a vertical axis labeled Expected z-score from negative 2 to 2 in increments of 0.5. Ten plotted points closely follow the pattern of a line that rises from left to right through (58, negative 1.55) and (95.5, 1). All coordinates are approximate. (b) Is the new system effective? Conduct a hypothesis test using the P-value approach and a level of significance of alpha equals 0.1. First determine the appropriate hypotheses. Find the test statistic. (Round to two decimal places as needed.) Find the P-value. The P-value is (Round to three decimal places as needed.) Use the alpha equals 0.1 level of significance. What can be concluded from the hypothesis test? A. The P-value is greater than the level of significance so there isnbspsufficient evidence to conclude the new system is effective. B. The P-value is less than the level of significance so there isnbsp not nbspsufficient evidence to conclude the new system is effective. C. The P-value is less than the level of significance so there isnbspsufficient evidence to conclude the new system is effective. D. The P-value is greater than the level of significance so there isnbsp not nbspsufficient evidence to

Answer 1

a) Answer: Yes, the conditions are satisfied.

b) Sample mean using excel function AVERAGE(), x̅ = 79

Sample standard deviation using excel function STDEV.S, s = 13.8233

Sample size, n = 10

Null and Alternative hypothesis:  
Ho : µ = 84.2
H1 : µ < 84.2

Test statistic:  
t = (x̅- µ)/(s/√n) = (79 - 84.2)/(13.8233/√10) = -1.19

df = n-1 =    9

p-value = T.DIST(-1.19, 9, 1) = 0.132

Decision:  
Answer: A. The P-value is greater than the level of significance so there is not sufficient evidence to conclude the new system is effective.